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Sistemas de previsão de ocorrência de requeima em clones de batata suscetíveis e resistentes
(Universidade Federal de Santa MariaBRAgronomiaUFSMPrograma de Pós-Graduação em Agronomia, 2008-02-21)
The occurrence of late blight (Phytophthora infestans (Mont) de Bary) in potato crops is responsible for a large amount of fungicides every season. The use of systems for forecasting and late blight resistant cultivars are ...
Nonlinear time-series forecasts for decision support: short-termdemand for ICU beds in Santiago, Chile, during the 2021COVID-19 pandemic
(2022)
In Chile, due to the explosive increase of new Coronavirus disease 2019 (COVID-19) cases during the first part of 2021, the ability of health services to accommodate new incoming cases was jeopardized. It has become necessary ...
Mortality from chronic respiratory disease in Brazil: time trend and forecasts
(Universidade de Sao Paulo, 2023)
A process-based model to simulate sugarcane orange rust severity from weather data in Southern Brazil
(2021-01-01)
Forecasting the severity of plant diseases is an emerging need for farmers and companies to optimize management actions and to predict crop yields. Process-based models are viable tools for this purpose, thanks to their ...
Implementation of a proactive system to monitor Aedes aegypti populations using open access historical and forecasted meteorological data
(Elsevier Science, 2021-09)
Due to the global increase in mosquito-borne diseases outbreaks it is recommended to increase surveillance and monitoring of vector species to respond swiftly and with early warning indicators. Usually, however, the ...
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health
Organization up to June 24th, 2020, more than 9.1 million people were infected, and more than 470 thousand have died ...
Development of Ramulosis Disease of Cotton Under Controlled Environment and Field Conditions
(AMER PHYTOPATHOLOGICAL SOC, 2009)
Colletotrichum gossypii var. cephalosporioides, the fungus that causes ramulosis disease of cotton, is widespread in Brazil and can cause severe yield loss. Because weather conditions greatly affect disease development, ...